code: def skip_level_0_prefix(model, state_dict):
      model = str(model)
      key = re.search(r": (.*?)Model", model)
      if key is None:
          key = re.search(r": (.*?)Stack", model)
      if key is None:
          key = re.match(r"(.*?)Model", model)
      # if keys start with 'model.', don't skip level 0 prefix
      if state_dict is not None:
          for item in state_dict.keys():
              if re.match("^model[.]", item):
                  return False
      if key is not None and key.group(1).lower() in ["bloom", "opt"]:
          return True
      return False
  
imports: import os
  import torch
  import tqdm
  import deepspeed
  import deepspeed.ops.transformer
  from deepspeed.ops.transformer.inference.diffusers_attention import DeepSpeedDiffusersAttention
  from deepspeed.ops.transformer.inference.diffusers_transformer_block import DeepSpeedDiffusersTransformerBlock
  from deepspeed.ops.transformer.inference.diffusers_2d_transformer import Diffusers2DTransformerConfig
  from deepspeed.accelerator import get_accelerator
  from .replace_policy import replace_policies, generic_policies
  from .auto_tp import AutoTP, ReplaceWithTensorSlicing, Loading
  from deepspeed import comm
  from deepspeed.module_inject.tp_shard import set_num_kv_heads, set_n_embd
  from .load_checkpoint import load_model_with_checkpoint
  import time
  from .utils import policy_to_ds_container
  import gc
  from ..pipe import PipelineModule
  import re
label_desc: Use image node_id 7 for calling a global function with example usage: skip_level_0_prefix(model, state_dict) and returns: False, True, False